Triple
T25147541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Box Hill railway station |
E629975
|
entity |
| Predicate | hasUndercoverPlatforms |
P24211
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Box Hill railway station, hasUndercoverPlatforms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndercoverPlatforms Context triple: [Box Hill railway station, hasUndercoverPlatforms, yes]
-
A.
hasShelteredPlatforms
chosen
Indicates that the subject provides or includes platforms that are covered or protected from the elements.
-
B.
hasSubsurfacePlatforms
Indicates that an entity includes or is equipped with platforms located below the surface or underground.
-
C.
hasSidePlatforms
Indicates that something is equipped with platforms located on its sides, typically for access, support, or operation.
-
D.
hasPlatformOn
Indicates that one entity is physically supported by or situated on the surface or structure of another entity.
-
E.
hasSubSurfacePlatformsFor
Indicates that one entity provides or contains subsurface platforms intended to support, serve, or be used by another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 6:30 a.m.